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What is STOCHOS?

STOCHOS is a cutting-edge probabilistic AI tool tailored for engineering and research and development sectors. It efficiently utilizes available simulation, testing, and measurement data to quickly forecast new variants while offering uncertainty assessments for each outcome, enabling engineers to determine when they can rely on the findings or revert to conventional solvers. Using the DIM-GP framework, STOCHOS proves effective even with smaller datasets, accommodating samples ranging from a handful to several hundred, and is capable of managing diverse data types, including scalars, signals, 2D and 3D fields, meshes, geometries, and images. Among its features are surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, in addition to generative geometry techniques. The user-friendly STOCHOS Flow visual workbench allows users to build workflows without requiring programming skills, enabling teams to implement these workflows as web applications easily. The software can be installed on local hardware and works offline, thus ensuring both accessibility and privacy for users. Established in 2018 in Grafing bei München, PI Probaligence operates as part of the CADFEM Group and has emerged as a key technology partner with Ansys, fostering pioneering solutions in the engineering domain. Moreover, its seamless integration into existing workflows not only boosts productivity but also enhances operational efficiency within engineering teams, making it a valuable asset in today's fast-paced technological landscape.

What is Atinary SDLabs Platform?

Atinary's Self-Driving Labs (SDLabs) platform provides a no-code approach for artificial intelligence and machine learning, designed to revolutionize research and development workflows by enabling traditional laboratories to transition from manual experiments to fully autonomous experimentation. This innovative platform bolsters the design and improvement of experiments through a robust closed-loop system that integrates AI-generated hypotheses, predictions, and decision-making processes. Among its key functionalities are multi-objective optimization, effective database management, seamless workflow orchestration, and immediate data analysis. Users can define experimental parameters with specific limitations, allowing machine learning algorithms to guide the subsequent phases of the process, carry out experiments either manually or with robotic assistance, evaluate results, and refresh models with the most recent data, thereby accelerating the journey toward more efficient, cost-effective, and environmentally sustainable products. Furthermore, Atinary provides exclusive algorithms such as Emmental for addressing non-linear constrained optimization challenges, SeMOpt for facilitating transfer learning within Bayesian optimization, and Falcon, all of which significantly boost the platform's capabilities and performance. By utilizing these sophisticated tools, researchers are empowered to enhance their experimental workflows, fostering greater efficiency and driving innovation in their fields. Ultimately, the SDLabs platform represents a transformative shift in how laboratories approach experimentation, paving the way for groundbreaking discoveries.

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Quote on request
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PI Probaligence GmbH

Date Founded

2018

Company Location

Germany

Company Website

probaligence.com

Company Facts

Organization Name

Atinary

Date Founded

2019

Company Location

Switzerland

Company Website

atinary.com/solutions/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

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